# MCP4Modal Sandbox

> Use this tool when you need to create isolated cloud-based Python environments with GPU support for large language models (LLMs) and AI assistants. It solves problems related to environment management, GPU acceleration, and scalability for AI workloads. The MCP4Modal Sandbox takes in model specifications and outputs a managed environment, ideal for use cases requiring secure, high-performance computing.

Canonical page: https://skillsregistry.net/skills/milkymap-mcp4modal-sandbox  
JSON: https://api.skillsregistry.net/v1/skills/milkymap-mcp4modal-sandbox

## Description

A Model Context Protocol server that enables LLMs and AI assistants to create, manage, and interact with isolated cloud-based Python environments with GPU support on Modal.com.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/glhapvacqu)
- **Repository:** <https://github.com/milkymap/mcp4modal_sandbox>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "milkymap-mcp4modal-sandbox"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/milkymap-mcp4modal-sandbox` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/milkymap-mcp4modal-sandbox/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt